由两列传播

Spread by Two Columns

我正在尝试传播一个数据框,但我对spread()gather()不太熟悉。

以下是我的数据示例。它有 9 行都具有相同的 Application.Number。我想以每个 Application.Number-Decicion 组合结束一行。其余变量 date_generated date_decided time_to_decisiontext 必须对每个 Application.Number-Decicion 组合重复,否则应采用最后一个。数据已按 Application.Numberdate_generated.

排序
structure(list(Application.Number = c(80749L, 80749L, 80749L, 
80749L, 80749L, 80749L, 80749L, 80749L, 80749L), Decision = c("Invalid", 
"Invalid", "Invalid", "Invalid", "Invalid", "Invalid", "Approved", 
"Approved", "Approved"), date_generated = structure(c(1521810060, 
1521810060, 1523523840, 1523536500, 1524036720, 1524136380, 1524137460, 
1524137460, 1524137460), class = c("POSIXct", "POSIXt"), tzone = ""), 
    date_decided = structure(c(1522155960, 1522155660, 1523534400, 
    1523600520, 1524127140, 1524136740, 1524211800, 1524211740, 
    1524211200), class = c("POSIXct", "POSIXt"), tzone = ""), 
    time_to_decision = c(4.00347222222222, 4, 0.122222222222222, 
    0.740972222222222, 1.04652777777778, 0.00416666666666667, 
    0.860416666666667, 0.859722222222222, 0.853472222222222), 
    text = c("rIUQRmOkyZ", "ZxdYUr16NR", "8IIipoleOV", "nLuIgToxcT", 
    "xYFksrws87", "N2oECMtgQo", "RKcrBcBFI2", "jaH438byVt", "80ggA2hZr7"
    )), row.names = 15880:15888, class = "data.frame")

编辑:决定输出应该只有一行,所有行都应该围绕 Application.Number

我最终用重复项制作了一个单独的数据框,并将其连接回唯一行。

一定有更好的方法。

好吧,你可以做,但我同意用户42-,以后会因为数据格式而导致问题:

> gather(x, "key", "val", -Application.Number, -Decision)
   Application.Number Decision              key                 val
1               80749  Invalid   date_generated          1521810060
2               80749  Invalid   date_generated          1521810060
3               80749  Invalid   date_generated          1523523840
4               80749  Invalid   date_generated          1523536500
5               80749  Invalid   date_generated          1524036720
6               80749  Invalid   date_generated          1524136380
7               80749 Approved   date_generated          1524137460
8               80749 Approved   date_generated          1524137460
9               80749 Approved   date_generated          1524137460
10              80749  Invalid     date_decided          1522155960
11              80749  Invalid     date_decided          1522155660
12              80749  Invalid     date_decided          1523534400
13              80749  Invalid     date_decided          1523600520
14              80749  Invalid     date_decided          1524127140
15              80749  Invalid     date_decided          1524136740
16              80749 Approved     date_decided          1524211800
17              80749 Approved     date_decided          1524211740
18              80749 Approved     date_decided          1524211200
19              80749  Invalid time_to_decision    4.00347222222222
20              80749  Invalid time_to_decision                   4
21              80749  Invalid time_to_decision   0.122222222222222
22              80749  Invalid time_to_decision   0.740972222222222
23              80749  Invalid time_to_decision    1.04652777777778
24              80749  Invalid time_to_decision 0.00416666666666667
25              80749 Approved time_to_decision   0.860416666666667
26              80749 Approved time_to_decision   0.859722222222222
27              80749 Approved time_to_decision   0.853472222222222
28              80749  Invalid             text          rIUQRmOkyZ
29              80749  Invalid             text          ZxdYUr16NR
30              80749  Invalid             text          8IIipoleOV
31              80749  Invalid             text          nLuIgToxcT
32              80749  Invalid             text          xYFksrws87
33              80749  Invalid             text          N2oECMtgQo
34              80749 Approved             text          RKcrBcBFI2
35              80749 Approved             text          jaH438byVt
36              80749 Approved             text          80ggA2hZr7
Warning:
attributes are not identical across measure variables;
they will be dropped 

警告已经是一个提示:您已将所有值列 data_generateddate_decidedtime_to_decisiontext 转换为最通用的数据格式,可以保存所有这些值: 字符串。查看您的日期如何转换为自纪元 以来的 秒:例如,您丢失了时区信息。

简而言之,您可以做到,但我认为您不应该这样做。因为你没有展示你的用例或任何上下文,所以我不能提出更好的解决方案。,